CN117433589A - Low-power consumption temperature and salt depth meter data acquisition method, medium and system - Google Patents

Low-power consumption temperature and salt depth meter data acquisition method, medium and system Download PDF

Info

Publication number
CN117433589A
CN117433589A CN202311753340.7A CN202311753340A CN117433589A CN 117433589 A CN117433589 A CN 117433589A CN 202311753340 A CN202311753340 A CN 202311753340A CN 117433589 A CN117433589 A CN 117433589A
Authority
CN
China
Prior art keywords
temperature
salt depth
salt
meters
depth meter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202311753340.7A
Other languages
Chinese (zh)
Other versions
CN117433589B (en
Inventor
张国豪
杜勇
王任超
丁镇
刘晓霞
吴栋栋
胡彩霞
熊佳
杨健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources
Zhujiang Hydrology Water Resource Exploration Center
Qingdao Daowan Technology Co ltd
Original Assignee
Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources
Zhujiang Hydrology Water Resource Exploration Center
Qingdao Daowan Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources, Zhujiang Hydrology Water Resource Exploration Center, Qingdao Daowan Technology Co ltd filed Critical Hydrology Bureau Of Zhujiang Water Resources Commission Ministry Of Water Resources
Priority to CN202311753340.7A priority Critical patent/CN117433589B/en
Publication of CN117433589A publication Critical patent/CN117433589A/en
Application granted granted Critical
Publication of CN117433589B publication Critical patent/CN117433589B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C13/00Surveying specially adapted to open water, e.g. sea, lake, river or canal
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C13/00Surveying specially adapted to open water, e.g. sea, lake, river or canal
    • G01C13/008Surveying specially adapted to open water, e.g. sea, lake, river or canal measuring depth of open water
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Optimization (AREA)
  • Remote Sensing (AREA)
  • Pure & Applied Mathematics (AREA)
  • Hydrology & Water Resources (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Operations Research (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a data acquisition method, medium and system of a low-power-consumption temperature and salt depth instrument, belonging to the technical field of temperature and salt depth instruments, comprising the following steps: acquiring underwater three-dimensional coordinates, electricity storage capacity and acquired ocean parameters of a plurality of temperature and salt depth meters in a sea area to be detected; establishing a device topological graph, and establishing a first target model of the device topological graph, wherein the minimum variance of a second value of each node is preferentially considered; establishing a second target model of the equipment topological graph, and giving priority to the minimum value of each side; establishing a game model of the equipment topological graph, wherein the game model comprises a first target model and a second target model, the constraint condition of the game model is that the maximum communication distance between a temperature and salt depth meter corresponding to each node and a ground base station is the current electricity storage capacity, and solving the game model to obtain an optimal opening duration sequence of each node in the topological graph; and controlling a plurality of temperature and salt depth meters in the sea area to be detected to be started, collected or closed according to the optimal starting time sequence of each node.

Description

Low-power consumption temperature and salt depth meter data acquisition method, medium and system
Technical Field
The invention belongs to the technical field of temperature and salt depth meters, and particularly relates to a low-power consumption temperature and salt depth meter data acquisition method, medium and system.
Background
Marine parameter measurements typically require data acquisition using a warm salt depth meter. At present, a lithium battery is generally used for supplying power to the temperature and salt depth meter, the battery capacity is limited, and the temperature and salt depth meter can consume a large amount of electric quantity when continuously working under water in high intensity, so that the working time and the measuring range are severely limited. In addition, the depth and temperature changes between different sea areas are large, the ocean parameter difference is obvious, and the parameter change characteristics can be reflected only by wide coverage and dense distribution of the temperature and salt depth meter in the measurement network. However, considering the deployment cost, it is difficult to achieve very high distribution density of the temperature and salt depth meter, which results in sparse measurement data and even existence of an empty window, and the change of a parameter field cannot be completely reflected. In view of the above problems, there have been studies to reduce energy consumption by controlling the operating state of a thermal salt depth gauge, thereby extending the operating time. However, the method does not consider the continuity requirement of parameter values, the acquired parameter fields can be broken due to simple control of the switch state, the parameter evolution cannot be well represented, and the working capacity difference of different temperature and salt depth meters caused by the limitation of battery power supply is not considered, so that the sparse condition of local data can be aggravated.
Disclosure of Invention
In view of the above, the invention provides a data acquisition method, medium and system for a low-power-consumption temperature and salt depth meter, which can solve the technical problems that the energy consumption is reduced by controlling the working state of the temperature and salt depth meter, the continuity requirement of parameter values is not considered, the acquired parameter field is possibly broken due to the simple control of the on-off state, and the parameter evolution cannot be well represented in the prior art.
The invention is realized in the following way:
the first aspect of the invention provides a low-power consumption temperature and salt depth meter data acquisition method, which comprises the following steps:
s10, acquiring underwater three-dimensional coordinates, electricity storage quantity and acquired ocean parameters of a plurality of temperature and salt depth meters in a sea area to be detected;
s20, establishing a device topological graph, wherein nodes of the device topological graph are temperature and salt depth meters, a first value of each node is the electricity storage capacity of the temperature and salt depth meters, and a second value of each node is the difference vector between ocean parameters acquired by the temperature and salt depth meters and basic ocean parameters; establishing an edge between any two temperature and salt depth meters of the equipment topological graph, wherein the value of the edge is the similarity of ocean parameters acquired by two adjacent temperature and salt depth meters; the basic ocean parameters are historical average values of the ocean parameters of the sea area to be detected;
s30, establishing a first target model of the equipment topological graph, and giving priority to the minimum variance of the second value of each node; establishing a second target model of the equipment topological graph, and giving priority to the minimum value of each side;
s40, establishing a game model of the equipment topological graph, wherein the game model comprises the first target model and the second target model, the constraint condition of the game model is that the maximum communication distance between a temperature and salt depth meter corresponding to each node and a ground base station is the current electricity storage amount, and solving the game model to obtain an optimal opening duration sequence of each node in the topological graph;
s50, controlling a plurality of temperature and salt depth meters in the sea area to be detected to be started, acquired or closed according to the optimal starting time sequence of each node.
Based on the technical scheme, the data acquisition method of the low-power-consumption temperature and salt depth meter can be improved as follows:
the method for acquiring the underwater three-dimensional coordinates, the electric storage capacity and the acquired ocean parameters of the plurality of temperature and salt depth meters in the sea area to be detected specifically comprises the following steps:
acquiring longitude and latitude information of a temperature and salt depth meter through a GPS module, acquiring underwater depth by combining an underwater pressure measuring sensor, and determining a three-dimensional coordinate;
reading the electric quantity of a built-in battery of the temperature and salt depth meter; the ocean parameters include at least temperature, salinity, depth.
The topology map building step comprises the following steps:
taking each temperature and salt depth meter as a node of the graph;
calculating the distance between the nodes according to the position information, wherein the distance between the two nodes is defined as adjacent nodes within a preset threshold value;
each node stores the own electric quantity value and the difference vector of the acquired parameter and the historical average value as the node weight;
and calculating cosine similarity between the parameter vectors of the adjacent nodes as the weight of the edge.
The objective function of the first objective model is:
constraints of the first object model include:
in the method, in the process of the invention,,/>,/>the weight coefficient is adopted; />Total temperature and salt depth meter; />No.)>Parameter deviation groups of the temperature and salt depth meters;average value of parameter deviation of all temperature and salt depth meters; />No.)>The temperature and salt depth meter pair->Collecting values of parameters; />No.)>Historical average acquisition values of parameters; />No.)>The>Parameter and the first ∈of the adjacent temperature and salt depth meter>Difference in parameters; />No.)>Residual electric quantity of each temperature and salt depth meter; />The minimum electric quantity of the temperature salt depth instrument; />No.)>Collecting time of each temperature and salt depth meter; />The single maximum continuous working time of the temperature and salt depth meter; />No.)>Position change amounts of the temperature and salt depth meters; />A position change threshold; />No.)>Time drift of each temperature and salt depth meter; />Time drift threshold.
The objective function of the second objective model is:
constraints of the second object model include:
in the method, in the process of the invention,,/>,/>weight coefficient; />Warm salt depth instrument->,/>Similarity of parameter acquisition values; />:/>,/>Communication power between the temperature and salt depth meters; />Maximum communication power; />:/>,/>Bandwidth between temperature and salt depth meters; />Minimum bandwidth.
Further, the steps of building a game model of the device topological graph are specifically as follows: and defining a temperature and salt depth meter as a game participant, defining a game strategy space as parameter acquisition time length of the temperature and salt depth meter, establishing a benefit function based on the first and second target models, increasing constraint conditions as the maximum communication distance between the temperature and salt depth meter and a ground base station, and solving game balance with maximized benefit function to obtain the parameter acquisition time length of the temperature and salt depth meter.
Further, the step of controlling a plurality of temperature and salt depth meters in the sea area to be detected to be started, collected or closed according to the optimal starting time sequence of each node specifically comprises the following steps: and (3) establishing a time synchronization and scheduling module of the temperature and salt depth meter, inputting a parameter acquisition time length sequence of the temperature and salt depth meter obtained by solving in S40 to the module, and controlling the temperature and salt depth meter to start and acquire data or close according to time sequence so as to save electric quantity.
A second aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium stores program instructions, where the program instructions are configured to execute the method for acquiring low-power-consumption temperature and salt depth data.
A third aspect of the present invention provides a low power consumption temperature salt depth meter data acquisition system, which includes the computer readable storage medium.
Compared with the prior art, the low-power consumption temperature and salt depth meter data acquisition method, medium and system provided by the invention have the beneficial effects that: the method and the system have the advantages that the topological relation diagram of the temperature and salt depth instrument is built, the parameter relevance and the similarity among the equipment nodes are considered, the topological structure of the parameter field is built, the electric quantity condition of each node and the distance limitation with the base station are fully considered, the working state of the temperature and salt depth instrument is dynamically optimized and scheduled by calculating the optimal time length sequence of parameter acquisition through the game theory on the premise that the maximum working time and the maximum monitoring range are met, and the effect of prolonging the working time by utilizing limited energy to the maximum extent while guaranteeing the continuity of the parameter field is achieved. The method solves the problem that the data field is broken easily caused by simple switch control in the prior art, solves the problem that the data is sparsely aggregated because the difference of the node electric quantity is not considered, and achieves more comprehensive, continuous and balanced ocean parameter measurement.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
The orientation, configuration and operation in a particular orientation should not be construed as limiting the invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Referring to fig. 1, a flowchart of a low-power consumption temperature and salt depth meter data acquisition method is provided in a first aspect of the present invention, and the method includes the following steps:
s10, acquiring underwater three-dimensional coordinates, electricity storage quantity and acquired ocean parameters of a plurality of temperature and salt depth meters in a sea area to be detected;
s20, establishing a device topological graph, wherein nodes of the device topological graph are temperature and salt depth meters, a first value of each node is the electric storage capacity of the temperature and salt depth meters, and a second value of each node is the difference vector between ocean parameters acquired by the temperature and salt depth meters and basic ocean parameters; establishing an edge between any two temperature and salt depth meters of the equipment topological graph, wherein the value of the edge is the similarity of ocean parameters acquired by two adjacent temperature and salt depth meters; the basic ocean parameters are historical average values of ocean parameters of the sea area to be detected;
s30, establishing a first target model of the equipment topological graph, and giving priority to the minimum variance of the second value of each node; establishing a second target model of the equipment topological graph, and giving priority to the minimum value of each side;
s40, establishing a game model of the equipment topological graph, wherein the game model comprises a first target model and a second target model, the constraint condition of the game model is the maximum communication distance between a temperature and salt depth meter corresponding to each node and a ground base station under the current electricity storage capacity, and solving the game model to obtain an optimal opening duration sequence of each node in the topological graph;
s50, controlling a plurality of temperature and salt depth meters in the sea area to be detected to be started, acquired or closed according to the optimal starting time sequence of each node.
The following describes in detail the specific embodiments of the above steps:
step S10 temperature and salt depth meter data acquisition
A GPS module is arranged in the warm salt depth instrument and is used for collecting three-dimensional coordinatesInstalling an electric quantity detection circuit for detecting the residual electric quantity of the battery in real time>Setting various ocean parameter detection sensors to obtain ocean parameter data set +.>
Wherein,indicate->Marine parameters such as temperature, salinity, etc.
The temperature and salt depth meter is used for positioning data through a wired/wireless communication moduleElectric quantity data->And marine parameter data set->To the ground station GS.
Step S20 topology relation diagram establishment
In GS, integrating the received data of the thermal salt depth instrument, and establishing a thermal salt depth instrument topological relation diagram
Defining a graph node:
wherein,indicate->Temperature and salt depth meter node->Is->Electric quantity data of each temperature and salt depth meter, +.>Is->Ocean parameter deviation groups of the temperature and salt depth meters,
wherein,indicate->The temperature and salt depth meter pair->Acquisition value of parameter->Historical mean value of the parameter->Deviation between them.
Defining a graph boundary:
wherein the function isAnd calculating the similarity of the ocean parameter data sets of the two temperature and salt depth meters.
Step S30 target model establishment
First object model
Objective function:
wherein,,/>,/>weight coefficient
Total number of temperature and salt depth meters
No.)>Parameter deviation group of individual temperature and salt depth meter
Mean value of parameter deviation of all temperature and salt depth meters
No.)>The temperature and salt depth meter pair->Acquisition value of parameter
No.)>Historical average acquisition value of parameter
No.)>The>Parameter and the first ∈of the adjacent temperature and salt depth meter>Difference of parameters
Constraint conditions:
in the method, in the process of the invention,no.)>Residual electric quantity of individual temperature and salt depth meter
Minimum electric quantity of temperature and salt depth instrument
No.)>Acquisition time of individual temperature and salt depth meter
Single maximum continuous working time of temperature and salt depth meter
No.)>Position change of each temperature and salt depth meter
Position change threshold
No.)>Time drift of each temperature and salt depth meter
Time drift threshold
Second object model
Objective function:
constraint conditions:
in the method, in the process of the invention,,/>,/>weight coefficient
Warm salt depth instrument->,/>Similarity of parameter acquisition values of (a)
:/>,/>Communication power between temperature and salt depth meters
Maximum communication power
:/>,/>Bandwidth between thermal salt depth meters
Minimum bandwidth
Step S40, game model establishment:
and integrating the two target models to establish a game model.
Defining game participators, temperature and salt depth instrument set
Defining policy space, namely, data acquisition time length of each temperature and salt depth meter
Defining game revenues:
wherein,is a combined strategy of all temperature and salt depth meters, < >>Is individual->Is (are) policy of->Is in addition to individual->Other individual policy combinations than these.
Defining constraint conditions, namely, the data interaction range of the participants
Finally solving game balance to obtain optimal data acquisition time strategy of temperature and salt depth instrument
Step S50 control execution
GS sends control instructions to each temperature and salt depth instrument node respectively according to the optimal strategyAnd (5) guiding the temperature and salt depth meter to execute on/off operation, and completing low-power-consumption data acquisition.
Specifically, the principle of the invention is as follows: the method has the core innovation points that the parameter relevance and similarity relation between the temperature and salt depth meters are fully considered, a topological connection network of the temperature and salt depth meters is established, a continuous ocean parameter field structure is constructed, so that the change of parameters in time and space is kept continuous, and an optimal distribution scheme of parameter acquisition time is formulated according to the electric quantity condition difference of different nodes in the network. The double-target comprehensive optimization strategy based on the parameter relevance and the equipment use condition ensures that continuous ocean parameter field changes in time and space can be obtained while the energy consumption is reduced to the greatest extent, and effectively solves the problem that the data quality and the equipment cost cannot be considered in the prior art. The optimization strategy can be widely applied to the use management of ocean observation equipment, and the efficiency of ocean investigation is obviously improved. The mathematical implementation means mainly uses network theory to construct a parameter association network of the temperature and salt depth meter, and uses a game theory method to search a stability strategy of network parameter collaborative optimization.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (9)

1. The data acquisition method of the low-power-consumption temperature salt depth meter is characterized by comprising the following steps of:
s10, acquiring underwater three-dimensional coordinates, electricity storage quantity and acquired ocean parameters of a plurality of temperature and salt depth meters in a sea area to be detected;
s20, establishing a device topological graph, wherein nodes of the device topological graph are temperature and salt depth meters, a first value of each node is the electricity storage capacity of the temperature and salt depth meters, and a second value of each node is the difference vector between ocean parameters acquired by the temperature and salt depth meters and basic ocean parameters; establishing an edge between any two temperature and salt depth meters of the equipment topological graph, wherein the value of the edge is the similarity of ocean parameters acquired by two adjacent temperature and salt depth meters; the basic ocean parameters are historical average values of the ocean parameters of the sea area to be detected;
s30, establishing a first target model of the equipment topological graph, and giving priority to the minimum variance of the second value of each node; establishing a second target model of the equipment topological graph, and giving priority to the minimum value of each side;
s40, establishing a game model of the equipment topological graph, wherein the game model comprises the first target model and the second target model, the constraint condition of the game model is that the maximum communication distance between a temperature and salt depth meter corresponding to each node and a ground base station is the current electricity storage amount, and solving the game model to obtain an optimal opening duration sequence of each node in the topological graph;
s50, controlling a plurality of temperature and salt depth meters in the sea area to be detected to be started, acquired or closed according to the optimal starting time sequence of each node.
2. The method for acquiring the data of the low-power-consumption thermal salt depth meters according to claim 1, wherein the step of acquiring the underwater three-dimensional coordinates, the electric storage capacity and the acquired ocean parameters of the plurality of thermal salt depth meters in the sea area to be detected specifically comprises the following steps:
acquiring longitude and latitude information of a temperature and salt depth meter through a GPS module, acquiring underwater depth by combining an underwater pressure measuring sensor, and determining a three-dimensional coordinate;
reading the electric quantity of a built-in battery of the temperature and salt depth meter; the ocean parameters include at least temperature, salinity, depth.
3. The method for collecting data of a low-power-consumption thermal salt depth meter according to claim 1, wherein the step of establishing the topological graph comprises:
taking each temperature and salt depth meter as a node of the graph;
calculating the distance between the nodes according to the position information, wherein the distance between the two nodes is defined as adjacent nodes within a preset threshold value;
each node stores the own electric quantity value and the difference vector of the acquired parameter and the historical average value as the node weight;
and calculating cosine similarity between the parameter vectors of the adjacent nodes as the weight of the edge.
4. The method for collecting data of a low-power-consumption thermal salt depth meter according to claim 1, wherein the objective function of the first objective model is:
constraints of the first object model include:
in the method, in the process of the invention,,/>,/>the weight coefficient is adopted; />Total temperature and salt depth meter; />No.)>Parameter deviation groups of the temperature and salt depth meters; />Average value of parameter deviation of all temperature and salt depth meters; />No.)>The temperature and salt depth meter pair->Collecting values of parameters; />No.)>Historical average acquisition values of parameters; />No.)>The>Parameter and the first ∈of the adjacent temperature and salt depth meter>Difference in parameters; />No.)>Residual electric quantity of each temperature and salt depth meter; />The minimum electric quantity of the temperature salt depth instrument; />No.)>Collecting time of each temperature and salt depth meter; />The single maximum continuous working time of the temperature and salt depth meter; />No.)>Position change amounts of the temperature and salt depth meters; />A position change threshold; />No.)>Time drift of each temperature and salt depth meter; />Time drift threshold.
5. The method for collecting data of a low-power-consumption thermal salt depth meter according to claim 4, wherein the objective function of the second objective model is:
constraints of the second object model include:
in the method, in the process of the invention,,/>,/>weight coefficient; />Warm salt depth instrument->,/>Similarity of parameter acquisition values; />:/>,/>Communication power between the temperature and salt depth meters; />Maximum communication power; />:/>,/>Bandwidth between temperature and salt depth meters; />Minimum bandwidth.
6. The method for collecting data of a low-power-consumption thermal salt depth meter according to claim 5, wherein the step of establishing a game model with the device topology map specifically comprises: and defining a temperature and salt depth meter as a game participant, defining a game strategy space as parameter acquisition time length of the temperature and salt depth meter, establishing a benefit function based on the first and second target models, increasing constraint conditions as the maximum communication distance between the temperature and salt depth meter and a ground base station, and solving game balance with maximized benefit function to obtain the parameter acquisition time length of the temperature and salt depth meter.
7. The method for collecting data of low-power consumption thermal salt depth meters according to claim 6, wherein the step of controlling the plurality of thermal salt depth meters in the sea area to be measured to be turned on or turned off according to the optimal turn-on duration sequence of each node comprises the following specific steps: and (3) establishing a time synchronization and scheduling module of the temperature and salt depth meter, inputting a parameter acquisition time length sequence of the temperature and salt depth meter obtained by solving in S40 to the module, and controlling the temperature and salt depth meter to start and acquire data or close according to time sequence so as to save electric quantity.
8. A computer readable storage medium, wherein program instructions are stored in the computer readable storage medium, and when the program instructions are executed, the program instructions are used for executing a low-power consumption temperature and salt depth meter data acquisition method according to any one of claims 1-7.
9. A low power consumption temperature and salt depth meter data acquisition system comprising the computer readable storage medium of claim 8.
CN202311753340.7A 2023-12-20 2023-12-20 Low-power consumption temperature and salt depth meter data acquisition method, medium and system Active CN117433589B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311753340.7A CN117433589B (en) 2023-12-20 2023-12-20 Low-power consumption temperature and salt depth meter data acquisition method, medium and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311753340.7A CN117433589B (en) 2023-12-20 2023-12-20 Low-power consumption temperature and salt depth meter data acquisition method, medium and system

Publications (2)

Publication Number Publication Date
CN117433589A true CN117433589A (en) 2024-01-23
CN117433589B CN117433589B (en) 2024-03-15

Family

ID=89551936

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311753340.7A Active CN117433589B (en) 2023-12-20 2023-12-20 Low-power consumption temperature and salt depth meter data acquisition method, medium and system

Country Status (1)

Country Link
CN (1) CN117433589B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117560713A (en) * 2024-01-11 2024-02-13 成都大公博创信息技术有限公司 Radio monitoring management system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106304243A (en) * 2015-05-26 2017-01-04 桂林市华智信息科技有限公司 A kind of wireless sensor network topology control method based on gesture game
CN111932075A (en) * 2020-07-09 2020-11-13 中国电力科学研究院有限公司 Active power distribution network multi-region scheduling method, system, equipment and readable storage medium
CN112272364A (en) * 2020-10-19 2021-01-26 广州大学 Non-cooperative game power control method based on rechargeable wireless sensor network
CN112423255A (en) * 2020-11-09 2021-02-26 湛江三木科技有限公司 Marine environment on-line monitoring and early warning system
CN215413845U (en) * 2021-08-03 2022-01-04 青岛道万科技有限公司 Deep sea thermohaline depth gauge
CN115134887A (en) * 2022-06-29 2022-09-30 河南工程学院 Duty ratio wireless sensor network topology control method based on game theory
CN115866735A (en) * 2023-03-01 2023-03-28 青岛科技大学 Cross-layer topology control method based on super-mode game underwater sensor network
CN116390046A (en) * 2023-02-27 2023-07-04 青岛科技大学 Potential game-based underwater sensing network cross-layer topology method
CN117250330A (en) * 2023-11-07 2023-12-19 青岛道万科技有限公司 Temperature and salt depth meter measurement system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106304243A (en) * 2015-05-26 2017-01-04 桂林市华智信息科技有限公司 A kind of wireless sensor network topology control method based on gesture game
CN111932075A (en) * 2020-07-09 2020-11-13 中国电力科学研究院有限公司 Active power distribution network multi-region scheduling method, system, equipment and readable storage medium
CN112272364A (en) * 2020-10-19 2021-01-26 广州大学 Non-cooperative game power control method based on rechargeable wireless sensor network
CN112423255A (en) * 2020-11-09 2021-02-26 湛江三木科技有限公司 Marine environment on-line monitoring and early warning system
CN215413845U (en) * 2021-08-03 2022-01-04 青岛道万科技有限公司 Deep sea thermohaline depth gauge
CN115134887A (en) * 2022-06-29 2022-09-30 河南工程学院 Duty ratio wireless sensor network topology control method based on game theory
CN116390046A (en) * 2023-02-27 2023-07-04 青岛科技大学 Potential game-based underwater sensing network cross-layer topology method
CN115866735A (en) * 2023-03-01 2023-03-28 青岛科技大学 Cross-layer topology control method based on super-mode game underwater sensor network
CN117250330A (en) * 2023-11-07 2023-12-19 青岛道万科技有限公司 Temperature and salt depth meter measurement system

Non-Patent Citations (10)

* Cited by examiner, † Cited by third party
Title
HAO, XC: "Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor", CHINESE PHYSICS, vol. 27, no. 8, 31 August 2018 (2018-08-31) *
SOOEUN SONG等: "Energy Consumption Minimization Control for Augmented Reality Applications based on Multi-core Smart Devices", 2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 31 December 2019 (2019-12-31) *
刘晓霞;李芳;: "物联网智能感知节点π网低功耗软硬件划分建模", 工矿自动化, no. 09, 25 August 2018 (2018-08-25) *
卜范玉等: "基于博弈论的无线传感网能量均衡模型", 计 算 机 系 统 应 用, vol. 24, no. 5, 31 May 2015 (2015-05-31) *
张俊: "无线传感器网络能耗优化博弈模型研究", 万方学位论文库, 27 August 2019 (2019-08-27) *
徐宁;胡晓辉;李慧玲;杜永文;张学军;: "一种能耗均衡的WSN分布式拓扑博弈算法", 信息与控制, no. 02, 15 April 2019 (2019-04-15) *
李彩霞;宋元;王艺;李智;程小林;: "基于数据感知的海洋水文时空数据可视化", 系统仿真学报, no. 09, 8 September 2015 (2015-09-08) *
梁津津;姜飞;张孝薇;吴晟;邓云;: "感应传输温盐深链水上低功耗控制系统设计", 传感器与微系统, no. 10, 20 October 2015 (2015-10-20) *
许传博: "计及不确定性与协同性的微电网项目投资组合优化研究", 中国博士学位论文全文数据库, no. 6, 30 June 2021 (2021-06-30), pages 042 - 13 *
陈白;辛敏洁;刘伟静;姚宁;郝晓辰;汝小月;: "一种基于链路质量的自维护拓扑控制博弈算法", 电子学报, no. 09, 15 September 2016 (2016-09-15) *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117560713A (en) * 2024-01-11 2024-02-13 成都大公博创信息技术有限公司 Radio monitoring management system
CN117560713B (en) * 2024-01-11 2024-03-29 成都大公博创信息技术有限公司 Radio monitoring management system

Also Published As

Publication number Publication date
CN117433589B (en) 2024-03-15

Similar Documents

Publication Publication Date Title
CN117433589B (en) Low-power consumption temperature and salt depth meter data acquisition method, medium and system
Jamroen et al. A standalone photovoltaic/battery energy-powered water quality monitoring system based on narrowband internet of things for aquaculture: Design and implementation
Zhang et al. A multivariate and multimodal wind distribution model
Li et al. Iso-map: Energy-efficient contour mapping in wireless sensor networks
CN102419196B (en) Method for automatically drawing river water surface line by utilizing multiple remote control water level detection devices
Jin et al. A novel design of water environment monitoring system based on WSN
CN102944656A (en) On-line water quality monitoring system
CN105682224B (en) A kind of distributed wireless fingerprint positioning method for exempting from off-line training
CN101572960A (en) Positioning method in wireless sensor network based on distance and beaconing nodes
Zhou et al. Energy-efficient event determination in underwater WSNs leveraging practical data prediction
CN103347288B (en) A kind of wireless sensor network does not wait width hierarchical routing protocol method
CN104239959A (en) Geographical disaster prediction system
CN103517338B (en) Towards the localization method of the employing mobile anchor node of 3-D wireless Sensor Network
You et al. Sensor-enhanced mobility prediction for energy-efficient localization
CN112254207A (en) Abnormal state online monitoring and alarming system for heat supply pipe network
US20190087757A1 (en) GIS Based Centralized Carbon Footprint Monitoring System and Method Thereof
Yi et al. An Enhanced Hybrid 3D Localization Algorithm Based on APIT and DV-Hop.
CN107360579A (en) A kind of power monitoring method and system based on wireless network and big data
Chen Energy efficiency strategy for a general real-time wireless sensor platform
Sun et al. LPOCS: A Novel Linear Programming Optimization Coverage Scheme in Wireless Sensor Networks.
CN115828796B (en) Method for acquiring gas diffusion key parameters of greenhouse gas emission of river system
JP2012044089A (en) Amount of generated power estimation system
Li et al. Ship traffic flow prediction based on AIS data mining
CN106786789A (en) Microgrid generated energy real-time control system and method
CN110852512A (en) Sea wave prediction system, method and equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant